Automated CGI Scene Creation

• Reduced CGI scene creation time by 75% through custom automation add-ons.
• Built reusable procedural geometry and computer vision tools.
• Completed projects an average of 20% ahead of schedule.
• Demonstrated strong collaboration skills with a cross-functional team.
• Worked effectively with up to 5 professionals.

• Automated 90% of Audio/Video system operations, reducing need for on-site support.
• Set up low-latency networks and developed control systems.
• Ensured 100% uptime for media art installations.
• Worked independently and closely with a remote team.
• Fostered a friendly and inclusive environment.

• Developed a search robot for products, increasing cold client conversions by 4%.
• Created a report monitoring system for item positions for clients.
• Developed an advanced route-planning algorithm for courier logistics, increasing daily pickup points by 13%.
• Added generation of invoices for product stock, improving product acceptance process speed and accuracy by 15%.

• Developed ML Miners on the Bittensor network for Tao and dTao cryptocurrency.
• Managed a team of ML developers on Subnet 44 “Scorevision”.
• Achieved first place consistently by training and optimizing computer vision models.
• Implemented real-time tracking of football players and pitch key points from video footage.
• Trained Yolo models for miners and Clip for validators.

Led a team of 3 developers in designing and maintaining RuBackup’s software ecosystem.

Designed and implemented a modular Python library for backup integrations, now published on PyPi.

Released the first stable version of the web interface and REST API for RuBackup’s backup control system.

Developed and deployed an autoregressive model using statsmodels to predict remaining storage capacity.

Formalised internal coding standards, GitLab practices, and documentation processes to improve code quality and maintainability.